Software development
E-Government: Modern software solutions for authorities
Digitization has captured almost all areas of life and does not stop before public administration. Under the heading **E-Government**, a profound change takes place, ...
250+ projects · 5.0 on Google · 100% in Germany
Machine learning with training pipelines, tests and model governance
For mid-sized companies: production ML needs monitoring and rollback—we engineer that in – delivery and project ownership from Germany (Leer/East Frisia), named contacts, no offshore guesswork.
- 250+ delivered projects
- 5.0 stars on Google
- 100% engineering in Germany
Our ML development approach
We build ML solutions that fit your data and use case: forecasting, classification, recommendation engines, anomaly detection or process automation. We work with your existing data pipelines and tools (Python, TensorFlow, PyTorch, scikit-learn, cloud ML services) and integrate the trained models into your applications via APIs or embedded runtimes. Focus on business value and robustness, not hype.
- Data preparation and feature engineering
- Model training and validation
- Deployment as API or embedded model
- Monitoring and retraining
- Integration with your existing software
Machine learning that delivers business value
We build ML solutions that fit your data and use case: forecasting, classification, recommendation engines, anomaly detection or process automation. We work with your existing data pipelines and tools – Python, TensorFlow, PyTorch, scikit-learn or cloud ML services – and integrate trained models into your applications via APIs or embedded runtimes. Our focus is on business value and robustness: clear success metrics, validated models and deployment that your team can operate and retrain when data or requirements change.
Monitoring and retraining are part of our delivery so your ML solution stays accurate over time. Get in touch for a free consultation – we outline use cases, data requirements and typical project scope and cost without obligation.
Discuss your projectFrequently Asked Questions
Machine Learning Development
ML Scope & Integration
When is a custom ML model worth it?
When you have recurring patterns in your data – forecasting, classification, recommendations, anomaly detection – and off-the-shelf tools are not enough. We check data and use cases with you first.
How long does ML development take?
From data analysis to a production-ready model often 2–6 months, depending on data availability and complexity. We deliver in phases so you can validate early.
What about our data?
Your data stays under your control. We work with you on privacy and quality; training can be on-premise, in your cloud or in isolated environments.
Can you integrate ML into our systems?
Yes. We integrate models into your ERP, databases or APIs so predictions or classifications run inside your processes.
Up to 50% of your investment via BAFA/KfW
Use our funding calculator to see which government grants may apply to your project.
